Journal of NeuroscienceNeurosciencePeer-reviewed journal article
A role for δ subunit-containing GABA-A receptors on parvalbumin positive neurons in maintaining electrocortical signatures of sleep states
Peter M. LambertiD, Sofia V. SalvatoreiD, Xinguo LuiD, Hong‐Jin Shu, Ann M. Benz, Nicholas R. Rensing, Carla M. YuedeiD, Michael WongiD, Charles F. ZorumskiiD, Steven J. MennerickiD
Abstract
GABAA receptors containing {delta} subunits have been shown to mediate tonic/slow inhibition in the CNS. These receptors are typically found extrasynaptically and are activated by relatively low levels of ambient GABA in the extracellular space. In the mouse neocortex, {delta} subunits are expressed on the surface of some pyramidal cells as well as on parvalbumin positive (PV+) interneurons. An important function of PV+ interneurons is the organization of coordinated network activity that can be measured by EEG; however, it remains unclear what role tonic/slow inhibitory control of PV+ neurons may play in shaping oscillatory activity. After confirming a loss of functional {delta} mediated tonic currents in PV cells in cortical slices from mice lacking Gabrd in PV+ neurons (PV {delta}cKO), we performed EEG recordings to survey network activity across wake and sleep states. PV {delta}cKO mice showed altered spectral content of EEG during NREM and REM sleep that was a result of increased oscillatory activity in NREM and the emergence of transient high amplitude bursts of theta frequency activity during REM. Viral reintroduction of Gabrd to PV+ interneurons in PV {delta}cKO mice rescued REM EEG phenotypes, supporting an important role for {delta} subunit mediated inhibition of PV+ interneurons for maintaining normal REM cortical oscillations. Significance statementThe impact on cortical EEG of inhibition on PV+ neurons was studied by deleting a GABAA receptor subunit selectively from these neurons. We discovered unexpected changes at low frequencies during sleep that were rescued by viral reintroduction.
- organism: mouse
- assay: electronic health records
- research focus: cell type annotation
- approach: experimental assay
- Citations
- 5
- FWCI
- 2.26
- Field percentile
- top 13%
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